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20020107684 | 09778987 | 0 | 1. A computer-based method of processing software written in a programming language and containing data associated with a first locale, to generate a source code file which is locale independent and a resource pack consisting of data associated with the first locale, the source code file being arranged to co-operate with the resource pack to perform the function of the software, the method including: a first analysis step of using information associated with the programming language to generate a grammar tree representing the structure of the software; a second analysis step of using the grammar tree and a set of predefined internationalisation rules to identify and separate portions of the software potentially containing data associated with the first locale; and a partition step of using the identified portions of the software to generate the resource pack, and using the grammar tree to generate the locale independent source code file. |
9466048 | 11436061 | 1 | 1. A system comprising: a database of legal information, including case law documents, law review articles, and statutes; and at least one client access device having a display operatively coupled to a processing unit, and a memory operatively coupled to the processing unit, the memory including two or more independent applications and a legal-research tool accessible in a context of a first one of the independent applications and accessible in a context of a second one of the independent applications, wherein the legal-research tool includes a uniform resource locator (URL) table with at least one URL entry for each legal workflow item in a set of legal workflow items, the at least one URL entry specifying a URL for accessing a resource, in the database, associated with the corresponding legal workflow item, the URL including at least one parameter field for holding a value configured to access the resource specified by the URL, and the corresponding legal workflow item being associated with at least one of a legal practice type and a jurisdiction of a user, wherein the legal-research tool is configured to: display the set of legal workflow items, the set of legal workflow items comprising at least one of the following items: investigation item, valuation item, drafting tools-pleadings item, drafting tools-arguments item, statues and regulations item, citation checker and dictionary; detect a selection of text and a selection of one of the legal workflow items, by the user, from within the second independent application; obtain, based on the selection of one of the legal workflow items, the URL for accessing the resource corresponding to the selected one of the legal workflow items, from the URL entry for the selected one of the legal workflow items in the URL table; obtain the value configured to access the resource specified by the URL based on the selected one of the legal workflow items and a user profile of the user; input the obtained value into the at least one parameter field of the URL; input at least a portion of the selected text into the URL; couple the client access device to the database to access the resource, corresponding to the selected one of the legal workflow items, specified by the URL, based on the obtained value configured to access the resource, and to obtain data corresponding to the URL; and present on the display the data corresponding to the URL; and wherein the legal-research tool is further configured to, in response to a selection by the user from among the data corresponding to the URL presented on the display and upon invoking an interactive command from within the first independent application, cause insertion of at least a portion of the data corresponding to the URL into the second independent application. |
20140119550 | 14119773 | 0 | 1. An electronic device 100 , comprising: a directional speaker 103 ; a non-directional speaker 104 ; and a processor to: determine to transmit audio from the directional speaker 103 or the non-directional speaker 104 based on a setting indicating a target audio space of a relative direction and distance from the electronic device; and transmit audio from the determined speaker. |
8040261 | 12981775 | 1 | 1. A method of enabling input into a handheld electronic device of a type including an input apparatus, an output apparatus, a processor, and a memory, the memory having stored therein a number of objects including a number of language objects comprised of a number of linguistic elements, at least some of the language objects being stored in a first data source, and at least some of the language objects being stored in a second data source, the method comprising: detecting, by the processor, an ambiguous input; generating, by the processor, a number of compound language solutions by, for each compound language solution, searching both the first data source and the second data source to identify a language object corresponding with an initial portion of the ambiguous input and having a length equal to the length of the initial portion, and searching one of the first data source and the second data source to identify another language object corresponding with another portion of the ambiguous input; and outputting, by the processor, a representation of each of at least some of the compound language solutions, each said representation comprising a representation of the language object and a representation of at least a portion of the another language object. |
9906843 | 14888445 | 1 | 1. A video reception device configured to transmit and receive data through a communication network, the video reception device comprising: an input unit configured to receive an input of a video signal; a video extraction unit configured to extract a partial video for video recognition processing, from the video signal; a video recognition region setting unit configured to detect superimposing information superimposed on the partial video, and set a video recognition region to a region of the partial video except for a display region of the superimposing information; an additional information display control unit configured to generate content recognition information from the video recognition region set by the video recognition region setting unit; and a control unit configured to perform control of transmitting the content recognition information to a video recognition device connected to the communication network so as to request the video recognition device to perform the video recognition processing, obtaining a result of the video recognition processing from the video recognition device, and obtaining additional information based on the result of the video recognition processing from an additional information distribution device connected to the communication network. |
6167411 | 09102195 | 1 | 1. A method for entering new characters or editing pre-existing characters in a plurality of data entry fields on a display screen including a handwriting capture widget in a fixed location and separate from a plurality of text entry widgets corresponding to the data entry fields using a user interface, comprising the steps of: assigning one text entry widget from a sequentially ordered list of text entry widgets as a current text entry widget; displaying in the handwriting capture widget any characters in the current text entry widget; receiving in the handwriting capture widget at least one character for entry into the current text entry widget; after receipt of the at least one character in the current text entry widget is complete and when the current text entry widget is not a last text entry widget in the sequentially ordered list of text entry widgets, automatically selecting as the current text entry widget a next text entry widget from the sequentially ordered list of text entry widgets; and repeating said displaying step, said receiving step, and said selecting step. |
9426598 | 14332098 | 1 | 1. A method for calibrating a multichannel surround sound system including a soundbar and one or more surround loudspeakers, the method comprising: receiving, by microphone array integrated into the soundbar, a test signal played at a surround loudspeaker to be calibrated, the integrated microphone array comprising a plurality of microphones mounted in a relationship to the soundbar; estimating a position of the surround loudspeaker relative to the integrated microphone array based on the received test signal at the plurality of microphones; receiving, by the microphone array, a sound from a listener; estimating a position of the listener relative to the integrated microphone array based on the received sound at the plurality of microphones; deriving a distance and an angle between the surround loudspeaker and the listener based on the estimated position of the surround loudspeaker relative to the integrated microphone array and the estimated position of the listener relative to the integrated microphone array; and performing a spatial calibration to the surround sound system based at least on the derived distance and angle between the surround loudspeaker and the listener. |
20100105370 | 12433605 | 0 | 1. A method comprising: receiving a search query; detecting a context of a user interface currently being displayed on a display device of a mobile communications device; and displaying one or more search results on the display device of a search performed in the detected context using the search query. |
9767184 | 11677875 | 1 | 1. A method of searching an electronic database, the method comprising: receiving from a user interface a first search query that includes first and second search terms; identifying a set of multiple documents in the electronic database that each include both the first and second search terms; identifying within the set of multiple documents a first proximity window about instances of the first search term, and a second proximity window about instances of the second search term; identifying additional terms from within the first and second proximity windows that are semantically unrelated to each of the first and second search terms; generating a ranked concordance of at least some of the additional terms along with a relative frequency of each additional term within the first and second proximity windows; presenting the ranked concordance of the additional terms found within the first and second proximity windows to the user interface; receiving a third search term that the user selected from the ranked concordance; and present to the user interface a subset of the set of multiple documents having the third search term within at least one of the first proximity window about instances of the first search term and the second proximity window about instances of the second search term. |
20050021331 | 10870117 | 0 | 1. A speech recognition apparatus comprising: a speech recognizing unit; a speech recognition dictionary storing unit; a conversation database that has stored therein plural pieces of topic specifying information; and a conversation history storing memory that stores subjects included in conversation in the past, wherein: said speech recognizing unit selects plural candidates corresponding to a speech signal on the basis of contents stored in the speech recognition dictionary storing unit, selects a candidate from the selected plural candidates on the basis of topic specifying information associated with conversation histories stored in the conversation history storing memory, and outputs the selected candidate as a recognition result. |
20100036655 | 12186425 | 0 | 1. A method comprising the steps of: providing at least a part of keyboard having a plurality of keys; and predetermining a first probability of a user striking a key among the plurality of keys. |
20160104478 | 14604991 | 0 | 1. A speech recognition method using machine learning, comprising: receiving a speech signal as an input, performing speech recognition to generate speech recognition result information including multiple candidate sentences and ranks of the respective candidate sentences; processing the multiple candidate sentences included in the speech recognition result information according to a machine learning model which is learned in advance and changing the ranks of the multiple candidate sentences to re-rank the multiple candidate sentences; and selecting a highest-rank candidate sentence among the re-ranked multiple candidate sentences as a speech recognition result. |
20070133759 | 11300186 | 0 | 1. A method for dynamically changing an Interactive Voice Response (IVR) system, comprising: monitoring responses to a menu of prompts in the IVR system; and responsive to the responses, automatically updating a presentation order of the menu of prompts according to a set of rules, the set of rules describing qualifications for dynamically changing the menu of prompts based on the responses. |
10095946 | 15204419 | 1 | 1. A method implemented in a computing device, comprising: generating edges of lines within a text block identified through optical character recognition processes; locating text lines within the text block; identifying each of the edges outside of the text lines as strike through; grouping the identified edges outside of the text lines into co-linear groups comprising at least the strike through; and identifying, as the strike through, edges within the text lines that extend from the identified edges outside of the text lines. |
7979452 | 11404724 | 1 | 1. A computer-implemented method for retrieving task information using a system having task-based indexes, comprising an act of causing a processor to perform acts of: acquiring a plurality of mutually exclusive task-based categories, where L is the number of task based categories; receiving a plurality of text documents, where D is the number of text based documents; partitioning the text documents into a plurality of document sets, where N is the number of document sets, such that each task-based category is associated with a document set, where each document set is comprised of at least one document having subparts and having task information described in the document; associating at least one task-descriptive symbol with each task-based category; indexing the documents in each document set to create an index having index words and pointers, where the index words reflect the task information in the documents or subparts of documents; correlating the task-descriptive symbols with the index words to create an alignment of words having similar meaning such that index words are matched with similar task-descriptive symbols; and forming a plurality of task-based indexes by grouping the alignment of words with the respective task-based category, where M is the number of task based indexes, and where L is equal to N, which is equal to M, which is less than or equal to D, such that retrieval of a document having task based information pertaining to the task descriptive symbols is a function of the task based index. |
20060265503 | 11166331 | 0 | 1. A method for subscribing to a podcast, said method comprising: receiving a portable subscription file that is used to facilitate subscribing to the podcast; accessing the portable subscription file to obtain podcast information; and subscribing to the podcast using the podcast information. |
20110113064 | 12615289 | 0 | 1. A method comprising the following computer-executable acts: receiving a query that is configured by an issuer of the query to perform a local search, wherein the local search is performed over a first dataset and a second data set, wherein the first dataset comprises a first entity and the second dataset comprises a second entity, and wherein the query comprises a first token and a second token; parsing the query such that the first token of the query is mapped to the first entity in the first dataset and the second token of the query is mapped to the second entity in the second dataset; and returning search results based at least in part upon the parsing of the query. |
5396565 | 07971253 | 1 | 1. A neural network assembly, comprising: a memory region for storing reference patterns and categories of said reference patterns; an adaptive input region, having region cells, for adaptively processing input patterns having disturbances into processed patterns with said disturbances removed, said adaptive input region being trainable to remove said disturbances by adjustment of said region cells of said adaptive input region by resilient interconnection; a pattern associator neural network, selectively coupled to said memory region and said adaptive input region, for recognizing patterns in said processed patterns corresponding to said reference patterns and for producing a recognition result representative of at least one of said categories;. a training and recognition controlling unit, coupled to said memory region and said pattern associator neural network, for training said pattern associator neural network to correctly produce said recognition result and coupled to said adaptive input region for training said adaptive input region to remove said disturbances by said adjustment of said region cells by resilient interconnection; wherein said training and recognition controlling unit provides a training phase of operation and a recognition phase of operation of said pattern associator neural network, said recognition phase following said training phase; and further comprising a switching network for coupling said pattern associator neural network to said memory region during said training phase and for coupling said pattern associator neural network to said adaptive input region during said recognition phase. |
20060020459 | 11091129 | 0 | 1. A system for verifying client identity comprising: means for receiving a spoken voice sample from a client; means for determining a phone number of the client; means for matching the spoken voice sample against a stored voiceprint template of random phrases; and means for verifying the phone number of the client. |
9042191 | 13840386 | 1 | 1. A memory comprising: a memory array having a plurality of rows, each row of the plurality of rows of the memory array including a plurality of memory words; a plurality of first bits, each first bit of the plurality of first bits associated with a memory word of the plurality of memory words of the each row of the plurality of rows of the memory array, wherein a logic state of the each first bit indicates whether the memory word associated with the each first bit has had a failed bit; a plurality of redundancy rows, each redundancy row of the plurality of redundancy rows including a plurality of redundancy words, each redundancy word of the plurality of redundancy words associated with a corresponding memory word of the plurality of memory words of the each row of the plurality of rows of the memory array; and a corrected data cache having at least one repair word configured to store corrected data and at least one status bit associated with the at least one repair word, the status bit indicating whether the corrected data stored in the repair word is a pending repair, the corrected data cache configured to write the corrected data stored in the repair word to at least one of a counterpart memory word or a counterpart redundancy word. |
9575963 | 14394824 | 1 | 1. A computing device comprising one or more processors and one or more non-transitory storage devices storing instructions that, when executed by the one or more processors, configure the computing device to: receive a user query from an input device, wherein the user query includes a user intent and at least one command, the user intent being associated with a set of functions to be carried out by the computing device; derive, using a natural language processing (NLP) engine, the user intent from the user query; identify, using the NLP engine, at least one domain and the at least one command associated with the user intent derived, wherein the NLP engine includes at least one conditional random field (CRF) for performing entity extraction on the user query to identify at least one entity associated with the at least one command and wherein the command is associated with the domain; and execute the command associated with the user intent, wherein the command is configured to direct the computing device to carry out a function selected from the set of functions to generate output from a component of the computing device, wherein the component is selected from one of a speaker, a display screen, and a network interface device. |
20150378984 | 14318750 | 0 | 1. A method for augmenting a semantic model from unstructured data, the method comprising: determining, by a computer processor, a root of a first element of a semantic model; generating, by the computer processor, a search token, based at least in part on morphological rules applied to the root of the first element and a preposition added to the root of the first element; determining, by the computer processor, at least one phrase that substantially matches the search token, by applying the search token to unstructured data; and adding, by the computer processor, a predicate of the at least one phrase, to a second element of the semantic model, wherein the predicate expresses a relationship between the first element of the semantic model and the second element of the semantic model. |
20160350108 | 14725867 | 0 | 1. A method comprising: accessing resource strings each comprising respective text in a source human language, the resource strings having been obtained from a resource file of a source code project, the source code project comprising references to the resource strings that are configured to be used to compile the source code project; accessing a corpus of strings each comprising respective text in the source human language; performing text analysis on the resource strings and the corpus of strings to select and associate a string for each of the respective resource text strings; and storing the selected strings in association with the respective resource strings. |
20100161533 | 12620405 | 0 | 1. A special purpose processor for implementing a synthetic neural model of the biological anatomy of selected areas of a human brain, in which the synthetic neural model models neural elements of selected neuronal areas of the brain, each of the neural elements having a plurality of pre-synaptic inputs and a post-synaptic output, said special purpose processor comprising: a) a plurality of neural processing units, each one being associated with a plurality of the neural elements, each of said neural processing units having: (1) a first local memory for storing information corresponding respectively to each of the plurality of neural elements associated with said one neural processing unit, said information including data identifying different parameters of said one neural element, including (i) a static element description of a number of inputs to said neural element, (ii) a static synaptic description of a plasticity mode of a synapse associated with said neural element, (iii) dynamic synaptic weight variables of pre-synaptic input connections associated with said neural element, and (iv) dynamic input values for respective pre-synaptic inputs of said neural element; and (2) a programmed processor for processing and performing calculations on the dynamic synaptic weight variables and the dynamic input values, wherein said processor, in response to receiving respective dynamic weight variables and respective dynamic input values for respective pre-synaptic inputs of one of said neural elements, calculates an updated post-synaptic output activity datum for said one neural element; (b) an output storage table for storing post-synaptic output activity data of each of said plurality of neural elements; (c) a data loader for loading the information into said local memory for each said one neural element and for loading said post-synaptic output activity data of each said neural element into said output storage table; (d) a second memory for storing data records of the neural elements and pointers to said output storage table, respectively, for each of said neural elements, said data records including data identifying the synaptic connections of each said neural element to other of said neural elements; (e) an address controller for providing addresses to each of said neural processing units to store the information and transfer said post-synaptic activity output data from said output storage table into said first local memory; and (f) wherein said data controller functions to access said data records for reading said pointers to said output storage table to enable said output storage table to output said post-synaptic output activity data for use as an input to and processing by said neural processing unit. |
20050182621 | 11032415 | 0 | 1. A method comprising: measuring statistics from an initial portion of a speech utterance; and estimating feature normalization parameters based on the measured statistics and a statistically derived mapping relating measured statistics and feature normalization parameters. |
20100114576 | 12262242 | 0 | 1. A method of identifying words in a speech segment, said method comprising: obtaining, by a device, a speech segment; and determining, by the device, one or more words of the speech segment, said determining, for a word, comprising: identifying one or more soundlets within the word and for a soundlet: analyzing a contour of at least a portion of a sound wave of the soundlet to determine one or more variations within the contour; assigning one or more features to the one or more variations; and mapping the one or more features to one or more sound constructs, wherein the one or more sound constructs are at least part of the word. |
8135692 | 12273278 | 1 | 1. A computer-executable information retrieval apparatus for a web page retrieval using a retrieval keyword comprising: at least one processor; a computer storage medium embedded with computer instructions executed by the at least one processor, the executed computer instructions comprising: a word extract portion that extracts a first word from a web page on a display based on a display position of said web page on said display, wherein the displayed position is specified by a user, said word extract portion further extracts a second word placed around said extracted first word, said extracted second word is different from said extracted first word and is determined by an importance; wherein the importance of said extracted second word is calculated by a word importance calculation portion, the word importance calculation portion calculates the importance of said extracted second word based on an importance of said extracted second word itself and related to said extracted first word, wherein the word importance calculation portion further calculating said importance of said extracted second word related to said extracted first word based on a relationship between a ratio of the number of cooccurrences of said extracted second word with said extracted first word within a range of a certain character number in said web page to the total number of occurrences of said extracted second word in said web page, and a distance from said first word to said second word on said display; a retrieval portion that retrieves at least one web page using said extracted first word and second word. |
20060203977 | 11076597 | 0 | 1. A method comprising generating video content during a call that involves an interactive voice response system and a telecommunications terminal, wherein said video content is based on (i) the state of said interactive voice response system, and (ii) the video display capacity of said telecommunications terminal. |
20150305667 | 14683197 | 0 | 1. An apparatus for reducing epileptic seizures in a human patient by non-invasively providing coordinated low frequency audio stimuli and low frequency visual stimuli to the patient, the apparatus comprising: a visual signal output device that provides an external visual stimulus having a frequency of 1-10 Hz to the visual system of the patient; an audio signal output device that provides an external audible stimulus having a frequency of 1-10 Hz to the hearing system of the patient; and an audio/visual signal device that controls the visual signal output device and the audio signal output device to coordinate the presentation of the visual stimulus and the audible stimulus. |
10051122 | 15168675 | 1 | 1. A computer-implemented method for modeling a conversation between a participant and a user, the computer-implemented method comprising: analyzing, by a computer system, a set of call data between multiple users and multiple participants to extract multiple features of conversations between the users and the participants, the multiple features indicating characteristics of any of (a) at least one of the users, (b) at least one of the participants, (c) the conversations; extracting, by the computer system, the multiple features of the conversations based on the analysis; generating, by the computer system, multiple classifiers based on the multiple features, wherein each of the multiple classifiers indicates one of multiple outcomes of a conversation of the conversations and includes a subset of the multiple features that contributed to the one of the multiple outcomes, wherein different classifiers have distinct features; receiving, by the computer system, real-time call data of an ongoing call between the user and the participant; extracting, by the computer system, a set of features from the real-time call data; and analyzing, by the computer system, the set of features using the multiple classifiers; and generating, by the computer system, probabilities for potential outcomes of the ongoing call based on the analyzing of the set of features. |
8666406 | 13106269 | 1 | 1. A method of operating a user equipment (UE), comprising: monitoring for gestures by a user of the UE; detecting that a user of the UE has made a first pre-defined gesture; determining that the detected first pre-defined gesture is associated with setting up a given group communication session with a given communication group; transmitting a call request message to an application server to request set-up of the given group communication session with the given communication group; monitoring for gestures by the user of the UE during the given group communication session; and detecting that the user of the UE has made a second pre-defined gesture that is associated with a gesture-based command to be executed in association with the given group communication session. |
20060112066 | 10996321 | 0 | 1. A method for spell checking URLs in a resource, the method comprising: identifying within a resource a URL; determining whether the URL is valid; if the URL is invalid, marking the URL as misspelled. |
20030212557 | 10142468 | 0 | 1. A speech recognition method comprising using an audio and a video data set that respectively provide a first data stream of speech data and a second data stream of face image data, and applying a two stream coupled hidden Markov model to the first and second data streams for speech recognition. |
9564035 | 14578627 | 1 | 1. A safety system, comprising: an emergency sign comprising a readable text or graphical message and a machine-readable emergency symbol; an indicia reader to decode the emergency symbol and generate an emergency signal including instructions for an emergency response, the indicia reader communicatively coupled to a computer network; and a host computer communicatively coupled to the computer network configured to receive the emergency signal and generate the emergency response. |
9037580 | 13616331 | 1 | 1. A method of generating answers to questions, comprising: receiving an input query; formulating a plurality of different subqueries; conducting a search in one or more data sources to identify at least one candidate answer to each of the subqueries; for each of the candidate answers for each of the subqueries, applying a candidate ranking function to determine a ranking for said each of the candidate answers; for each of the subqueries, selecting one of the candidate answers to the subquery based on the ranking of said one of the candidate answers; and applying a logical synthesis component to synthesize a candidate answer for the input query from the selected ones of the candidate answers to the subqueries, including the logical synthesis component receiving the selected ones of the candidate answers to the subqueries as input, and outputting the candidate answer to the input query. |
8831942 | 12728151 | 1 | 1. A method for identifying a gender of a speaker, comprising: obtaining speech data of the speaker; extracting, using a processor of a computer, a plurality of vowel-like speech frames from the speech data; analyzing, using the processor, the plurality of vowel-like speech frames to generate a feature vector comprising a plurality of pitch values of the speaker, wherein each of the plurality of pitch values corresponds to one of the plurality of vowel-like frames; analyzing, using the processor, the plurality of pitch values to generate a most frequent pitch value; determining a first pre-determined threshold and a second pre-determined threshold based on an overlapping portion of a male pitch value training set and a female pitch value training set; configuring a male Gaussian Mixture Model (GMM) and a female GMM by using the male pitch value training set and the female pitch value training set, respectively, to train a suspicious speaker model for modeling male and female speaker pitch value distributions; determining, using the processor and in response to the most frequent pitch value being between the first pre-determined threshold and the second pre-determined threshold, an output of the male GMM and an output of the female GMM using the pitch value distributions of the suspicious speaker model as inputs to the male GMM and the female GMM; and identifying the gender of the speaker by comparing the output of the male GMM and the output of the female GMM based on a pre-determined criterion. |
4348553 | 06165466 | 1 | 1. A speech recognition system, comprising: an elementary recognizer for classifying the elementary segments of an observed speech pattern as they are received, said elementary recognizer including correlation means for producing at an output node of said elementary recognizer a score of correlation of said elementary segments with stored spectral speech patterns; and a plurality of local decision modules each connected to said output node for receiving said score of correlation; said plurality of local decision modules being connected at node points in a network wherein different network paths through the nodes and their corresponding local decisions modules represent an accumulation of speech segments constituting different pronunciations of said speech pattern, the input of each said local decision module connected to said correlation means to receive the measures of correlation; each local decision module specializing in a particular network node and including, means for determining the probability of how well the input segment of speech matches the particular sound segments associated with a given node, means for receiving from the other local decision modules the prior correlation scores of all preceding sound segments, means for selecting the locally optimum time warping of each segment of speech which are input from other local decision modules, and accumulator memory means for providing an accumulated correlation score for any one path in the network of local decision modules, said path representing an accumulation of segments or parts of a word or sound; whereby the accumulated correlation score represents the most probable pronunciation of said speech pattern and the best recognition match derived from all the possible paths in the network of local decision modules. |
8019756 | 12016381 | 1 | 1. A computer program product comprising: a non-transitory computer useable storage medium including a computer readable program, wherein the computer readable program when executed on a computer causes the computer to function as a system for calculating total importance of each of electronic documents, based on (i) a plurality of electronic documents chained to each other in a relation of referencing, from a start electronic document which is not referenced by any other electronic document to a terminal electronic document which does not reference any other document, (ii)information on relation of referencing and being referenced, (iii) an important phrase, and (iv) a response coefficient determining phrase, (i) through (iv) being stored in a storage device, the computer program causing a computer to (a) calculate importance of a given electronic document among the plurality of electronic documents, on the basis of the degree of similarity between the important phrase and a phrase included in the given electronic document; (b) identify at least one second electronic document which references the given electronic document, on the basis of information referenced; (c) calculate a response coefficient against a first electronic document, on the basis of a degree of similarity between a phrase included in the second electronic document and the response coefficient determining phrase; (d) calculate the total importance of the given electronic document, based on importance unique to one electronic document of the given electronic document, and total importance of the second electronic document; and (e) calculate the total importance of each of the plurality of electronic documents, by applying (a) to (d) to each of a plurality of pairs of the plurality of electronic documents. |
20180108355 | 15842019 | 0 | 1. (canceled) |
9483138 | 12832960 | 1 | 1. A method, comprising: using a computer to perform: collecting information about a user manipulation of a stylus in relation to a tablet device associated with the computer; recognizing, from the collected information, a stylus gesture performed by the user via manipulation of the stylus, such that: the stylus gesture is one of a plurality of stylus gestures that are recognized by the computer to perform at least one of a plurality of actions in a graphics application that comprises a natural media painting application, at least some of the stylus gestures are mapped to user manipulation of the stylus at a distance from the tablet device, at least some of the stylus gestures involve contact of the stylus with the tablet device, and the stylus gestures include a brush switching gesture in which a proximity of the stylus to the tablet changes from a first position relative to the tablet to a second position that is further away from the tablet and with at least a rate of change that corresponds to the brush switching gesture, the first position being within a first pre-defined distance threshold relative the tablet and the second position being beyond a second pre-defined distance threshold, and switching between paintbrushes of a brush tool being performed responsive to recognition of the brush switching gesture; determining which of the plurality of actions to perform based on the recognized stylus gesture; and performing a painting function for a digital image in the graphics application including performing the determined actions. |
20020062301 | 09915199 | 0 | 1. A method a exposing a value of a selected extended attribute in an extended attribute namespace, wherein the extended attribute is associated with a node in a directory tree namespace that is orthogonal to the extended attribute namespace, comprising: determining if the selected extended attribute exists; determining if a mapping for the selected extended attribute exists; if the mapping for the selected extended attribute does not exist, then in the extended attribute namespace, creating a virtual directory, creating a virtual file, associating the virtual file with the virtual directory, and mapping content of the virtual file to the selected extended attribute; performing a selected extended attribute operation; and exposing a value of the selected extended attribute. |
20040243418 | 10445053 | 0 | 1. A computer-based training system for improving language listening comprehension by analyzing a problem answering result input by a user and determining the difficulty level of the next problem, the system comprising: a level control module, which modifies settings of a problem difficulty level and a voice-playing speed according to problem setting information and an analysis result; a problem generating module, which retrieves text information according to the setting of problem difficulty level and uses the voice-playing speed information to provide voice-playing information; a problem type database, which stores the text information; a voice-playing unit, which plays the voice according to the voice-playing information; a timing unit, which records an answering time; and an analysis and comparison module, which generates the analysis result according to the answering time and the answering result. |
20070011118 | 11426896 | 0 | 1. A special purpose processor comprising: a FPGA implementing a neural model, the neural model including multiple neural elements the FPGA including multiple cores to implement neural elements, the cores processing data in parallel, the processing in the cores including presynaptic calculations using input values and weights, postsynaptic calculations to produce postsynaptic outputs using the results of the presynaptic calculations and plasticity calculations to modify the weights, the input values being provided to the cores by looping through a connection table to get pointers for an output storage table, the pointers indicating the inputs for the cores in a predefined order. |
8255233 | 13230654 | 1 | 1. A method for enhancement of source coding systems using high-frequency reconstruction, where said source coding system comprises an encoder representing all operations performed prior to storage or transmission, and a decoder representing all operations performed after storage or transmission, characterized by: at said encoder, estimating the noise-floor level of an original signal; at said decoder, shaping random noise in accordance to a spectral envelope representation, and adjusting said noise in accordance to said noise-floor level estimated in said encoder; at said decoder, adding said noise to the high-frequency reconstructed signal. |
5465253 | 08412506 | 1 | 1. A method for efficient utilization of radio channel resources in a communication system, wherein a sequence of time slots is provided on each of the radio channel resources for packetized communications, the method comprising the steps of: a) preempting, on at least one of the radio channel resources, packetized information contained within at least one time slot of said sequence of time slots every N time slots to produce at least one preempted time slot; b) utilizing the at least one preempted time slot for transmitting or receiving signaling information, the signaling information being superimposed on the at least one preempted time slot; and c) indicating a location of the preempted time slot using an independent broadcast channel, the independent broadcast channel allowing the communication system to distinguish the signaling information from the packetized information. |
20110224986 | 13056118 | 0 | 1. A method for configuring a voice authentication system employing at least one authentication engine, the method comprising the steps of: (a) utilising the at least one authentication engine to systematically compare each of plurality of impostor voice samples against a legitimate speaker voiceprint to derive respective authentication scores; (b) analysing the resultant authentication scores to determine a measure of confidence for the voice authentication system. |
20100214811 | 12392049 | 0 | 1. A method for operating content addressable memory, the method comprising: providing a plurality of memory cells in parallel circuit, the memory cells being electrically coupled to a match line, the match line configured to receive a collective current from the memory cells during a memory search operation; receiving a data word of bit length L for storage in the memory cells; transforming the data word into a code word of bit length greater than L such that at least one code word bit in the code word depends on at least two data word bits in the data word, the code word guaranteeing a mismatch of at least two code word bits of different binary values during the memory search operation when the data word does not match a search word; and storing the code word in the memory cells. |
8976867 | 14092560 | 1 | 1. A moving picture coding device adapted to code moving pictures in units of blocks obtained by partitioning each picture of the moving pictures, by using motion compensation, comprising: a motion vector predictor candidate generation unit configured to derive a plurality of motion vector predictor candidates by prediction from first coded prediction blocks neighboring a prediction block subject to coding within the same picture as the prediction block subject to coding, or from a second coded prediction block located at the same position as or in the neighborhood of the prediction block subject to coding in a picture different from that of the prediction block subject to coding, and to add the derived motion vector predictor candidates in a motion vector predictor candidate list; a motion vector predictor selection unit configured to select a motion vector predictor from the motion vector predictor candidate list; and a coding unit configured to code information indicating a position of the motion vector predictor candidate selected in the motion vector predictor candidate list, wherein the motion vector predictor candidate generation unit determines, for the purpose of obtaining a predetermined number of motion vector predictor candidates, which of first coded prediction blocks provides the motion vector from which to derive the motion vector predictor candidate, organizing the blocks in the order of priority, such that the motion vector predictor candidate generation unit processes, in a predetermined order, prediction blocks in a block group neighboring to the left and in a block group neighboring above, said processing being done according to conditions 1 and 2 below in the stated order and then according to conditions 3 and 4 below in the stated order, condition 1: there is found a motion vector that is predicted by using the same reference list and the same reference picture as that of a coding mode selected in the prediction block subject to coding; condition 2: there is found a motion vector that is predicted by using a reference list different from that of the coding mode selected in the prediction block subject to coding and using the same reference picture as that of the coding mode selected in the prediction block subject to coding; condition 3: there is found a motion vector that is predicted by using the same reference list as that of the coding mode selected in the prediction block subject to coding and using a reference picture different from that of the coding mode selected in the prediction block subject to coding; and condition 4: there is found a motion vector that is predicted by using a reference list different from that of the coding mode selected in the prediction block subject to coding and using a reference picture different from that of the coding mode selected in the prediction block subject to coding. |
8321398 | 12459475 | 1 | 1. A computer implemented method comprising: receiving a list comprising an entity, the entity having been identified as being associated with an electronic document; based solely upon a set of characteristics of the document, determining a relevancy score associated with the entity with respect to the document, wherein the set of characteristics includes at least one characteristic from the group consisting of: a first number representing a number of sentences occurring in the document prior to a first sentence in which the entity is named; a second number representing a number of sentences between first and last occurrences of the entity within the document; and a third number representing a uniformity with which the entity occurs within the document; and storing the relevancy score. |
9607630 | 13863703 | 1 | 1. A method of preventing unintended distribution of audio information, comprising: analyzing, by a processor, audio data of a speaker's speech received by a microphone before the audio data is distributed via the microphone; determining automatically, by the processor, from the analyzing whether the speaker's speech is intended to be distributed to an audience via the microphone; and in response to determining that the speaker's speech is not intended to be distributed to the audience via the microphone, performing one or more actions, wherein the analyzing comprises at least detecting a change in a manner of the speaker's speech comprising at least a change in harmonics of the speech, and based on the detecting of the change, determining that the speaker's speech is not intended to be distributed to the audience via the microphone, wherein one or more actions comprises at least generating a signal automatically by the processor that indicates the microphone is turned on, the signal comprising echoing back to the speaker in different harmonics while the speaker is speaking, and turning off the microphone automatically, wherein the analyzing further comprises detecting a change in a voice volume of a speaker making the speech, a change in a topic of the speech, the method further comprising collecting visual cues comprising a change in distance between a speaker making the speech and the microphone, a change in location from where the speaker is making the speech, the audience entering into and exiting from the location, the detected change in the voice volume, the change in the topic of the speech, and the visual cues increasing a confidence score in determining to turn off the microphone. |
8706659 | 13886757 | 1 | 1. A computer-implemented method comprising: receiving input data and a request for a predictive output from a client computing system; generating the predictive output using a first trained predictive model from a repository of trained predictive models and a second trained predictive model from the repository of trained predictive models; providing the predictive output to the client computing system; and apportioning a fee received from the client computing system to generate the predictive output to a first client computing system and to a second client computing system, wherein the first client computing system provided a first set of training data that was used to train the first trained predictive model and the second client computing system provided a second set of training data that was used to train the second trained predictive model. |
20100082510 | 12243359 | 0 | 1. One or more processor-accessible tangible media comprising processor-executable instructions for training a search result ranker, wherein the processor-executable instructions, when executed, direct a system to perform acts comprising: inferring user interests from user interactions with search results for a particular query, the search results including identifiers that comprise uniform resource locators (URLs); determining respective relevance scores associated with respective query-identifier pairs of the search results, each respective relevance score comprising a respective probability of the respective identifier being skipped by a user; formulating query-identifier-relevance score triplets from the respective relevance scores associated with the respective query-identifier pairs; submitting the query-identifier-relevance score triplets as training samples to a search result ranker; and training the search result ranker as a learning machine with multiple training samples comprising the query-identifier-relevance score triplets. |
9959083 | 15049211 | 1 | 1. A system for sharing a screen to receive a work instruction at a remote site, the system comprising: a screen transmitter device providing image data; and one or more screen receiver devices connected to the screen transmitter device via a network, the screen transmitter device sharing a screen with the screen receiver devices, wherein each of the screen receiver devices comprises a first central processing unit that executes: a voice input receiver unit that receives a voice input of a work instruction from an instructor operating said each of the screen receiver devices; a converter unit that converts the input voice into text data by voice recognition; and a data transfer unit that transmits the text data to the screen transmitter device, and wherein the screen transmitter device comprises a second central processing unit that executes: a definition receiver unit that receives a definition of a shared area of a screen display, the shared area being defined by an operation of a user of the screen transmitter device; and a display unit that displays image data inside the defined shared area and the text data received from at least one of the screen receiver devices inside the defined shared area. |
9875440 | 14691439 | 1 | 1. A method of processing information, comprising: receiving a message; processing the message with a trained artificial hierarchical stacked neural network implemented with at least one automated processor, comprising a plurality of hierarchical layers, each respective hierarchical layer being trained according to at least one training criteria, the at least one training criteria differing for respective ones of the plurality of hierarchical layers, and comprising at least one set of outputs which together represent a non-arbitrary organization of actions based on an architecture of the respective hierarchical layer and the prior training of the respective hierarchical layer; the message being received as an input by a respective first hierarchical layer of the trained artificial hierarchical stacked neural network; generating a search query for at least one database external to the hierarchical stacked neural network, based on the message, the search query being generated within the hierarchical stacked neural network as a neural network layer output from a respective second hierarchical layer of the trained artificial hierarchical stacked neural network at a respectively higher hierarchical level than the respective first hierarchical level which receives the message; communicating the search query through an automated communication channel, wherein the at least one database is configured to receive the search query from the automated communication channel and produce a database response based on an index of a plurality of database records corresponding to the search query; receiving the database response from the at least one database through the automated communication channel, as a neural network input into a respective third hierarchical layer of the trained artificial hierarchical stacked neural network; generating an output as a non-arbitrary organization of actions from a respective fourth hierarchical layer of the trained artificial hierarchical stacked neural network, selectively in dependence on the database response. |
9912977 | 15015848 | 1 | 1. A method comprising: obtaining, by a first portable device comprising a processor, first voice data of a first user; and transmitting, by the first portable device to an adapter a first radio frequency (RF) signal comprising the first voice data, wherein the first RF signal conforms to a first RF protocol, wherein the adapter retrieves the first voice data from the first RF signal, wherein the adapter transmits to a gateway a second RF signal comprising the first voice data, the second RF signal conforming to a second RF protocol that differs from the first RF protocol, wherein the gateway sends the first voice data to a voice processing system to generate one or more media processor commands which are directed to a first media processor whose operations are being controlled by the first portable device, and wherein the voice processing system receives second voice data from a second portable device of a second user, and wherein the voice processing system determines whether the second voice data controls a media processor based on pairing information provided by the second portable device, the pairing information indicating whether the second portable device is paired to the first media processor. |
9513898 | 14319308 | 1 | 1. A hazard detection system, comprising: at least one hazard sensor; a non-volatile memory comprising a plurality of code images, wherein a first code image is active and a second code image is inactive; and a plurality of processors each operative to run based on code stored in the active code image, the plurality of processors comprising at least a system processor and a safety processor, wherein the system processor is operative to: manage a software update process to replace the inactive code image with an updated code image, and wherein the safety processor is operative to: monitor the at least one hazard sensor for a hazard event while the system processor is managing the software update process. |
9607620 | 14221590 | 1 | 1. A system for fraud detection, comprising: a processor that executes the following computer executable components stored in a memory: a monitoring component that: generates a voice match determination based on identification of at least two segments of a communication, wherein segments of the at least two segments comprise respective voice signals associated with an individual, and assigns a confidence level to the voice match determination, the confidence level indicates a likelihood that the individual is a fraudster; an analysis component that: analyzes respective frequency responses for each segment of the at least two segments, and assigns a frequency response confidence level based on a determination that the respective frequency responses indicate the individual is the fraudster and based on consideration of a false positive caused by external influences; and a fraud component that determines fraud is occurring based on the confidence level of the voice match determination and the frequency response confidence level. |
20120093396 | 12904138 | 0 | 1. A computer-implemented feature extraction method for classifying pixels of a digitized image, the method to be performed by a system comprising at least one processor and at least one memory, the method comprising: generating a plurality of characterized pixels from a digitized image; generating a plurality of classification models by associating features of the plurality of characterized pixels with labels of a plurality of ground truths, wherein each of the plurality of ground truths is associated with a respective one of a plurality of image classifications; determining by the system a plurality of confidence maps based on the plurality of classification models, wherein the confidence maps contain information representing a likelihood of each pixel in the digitized image belonging to one of the plurality of image classifications; and iteratively improving the plurality of classification models by (a) extracting a plurality of contextual image feature vectors from the most-recently generated plurality of confidence maps, (b) updating the plurality of classification models based on the most-recently extracted plurality of contextual image feature vectors, and performing steps a and b for a threshold number of iterations; and outputting by the system a plurality of final classification models that classify part or all of the pixels of the digitized image. |
20170364744 | 15187723 | 0 | 1. A system for recognizing mathematical expressions, the system comprising: a pre-processing module operable to receive an image and obtain one or more candidate regions from the image; a feature extracting module operatively connected to the pre-processing module, the feature extracting module being operable to extract features of each of the candidate regions; an encoding module operatively connected to the feature extracting module, the encoding module being operable to encode the features into a distributive representation for each of the candidate regions separately; a decoding module operatively connected to the encoding module, the decoding module being operable to decode the distributive representation for each of the candidate regions into one or more output representations; and a post-processing module connected to the decoding module, the post-processing module being operable to combine the one or more output representations into an output expression in a computer-readable format. |
9652532 | 14616499 | 1 | 1. A method for allowing multiple audio sources from multiple users to play sound through an audio speaker system, comprising: designating a plurality of audio sources to provide audio sounds from a plurality of specified users to the audio speaker system; receiving an audio sound from each of the plurality of audio sources; determining each of the plurality of specified users based on one of the plurality of audio sources; arranging the received audio sounds from the plurality of audio sources in a sequential order so that the sequential order includes an audio sound associated with each of the plurality of specified users and rotating between each of the plurality of audio sources based on the sequential order to create a playlist; and playing each audio sound from the playlist via the audio speaker system. |
8922487 | 14078498 | 1 | 1. A method comprising: receiving, by a processor and from an orientation sensor, a first set of orientation data representative of a mobile computing device being in a first orientation; receiving, by the processor and from the orientation sensor, a second set of orientation data representative of the mobile computing device being in a second orientation; changing, by the processor, an operational mode of the mobile computing device from a first operational mode to a second operational mode, the changing responsive to: determining that the first set of orientation data approximates a first set of baseline data representative of a first state of the mobile computing device, the first state of the mobile computing device comprising an input receiving mode operative to receive voice input from a user, and determining that the second set of orientation data approximates a second set of baseline data representative of a second state of the mobile computing device, the second state of the mobile computing device comprising a visual display mode operative to display a selected portion of a real-world environment overlaid by a computer-generated graphic element; receiving, by the processor and while the mobile computing device is in the first operational mode, an indication of voice input; outputting, by the processor and for display while the mobile computing device is in the second operational mode, a selected portion of a real-world environment physically located around the mobile computing device and a computer-generated graphic element overlaid on the displayed portion of the real-world environment, the computer-generated graphic comprising a visual indication of a search result, wherein the search result is determined responsive to a query based on the indication of the voice input. |
9263057 | 14538728 | 1 | 1. A decoder for decoding an encoded audio signal comprising: an input interface for processing the encoded audio signal to acquire a noise filling measure and encoded audio data; a decoder/re-quantizer for generating re-quantized data; a signal analyzer for retrieving information, whether a time frame of the audio data comprises harmonic or speech characteristic; and a noise filler for generating noise filling audio data, wherein the noise filler is configured to generate noise filling data in response to the noise filling measure and the harmonic or speech characteristic of the audio data; and a processor for processing the re-quantized data and the noise filling audio data to acquire a decoded audio signal; wherein the encoded audio signal comprises data indicating, whether the time frame of the audio data comprises a harmonic or speech characteristic, and wherein the signal analyzer is configured for analyzing the encoded audio signal to retrieve a data indicating, whether the time frame of the audio data comprises a harmonic or speech characteristic; wherein the data is an indication that the time portion has been subjected to a time warping processing, and wherein the processor comprises a time dewarper for time dewarping an audio signal derived from noise filling data and re-quantized data. |
20070150262 | 10580195 | 0 | 1. A speech packet transmitting method for transmitting an input speech signal on a frame-by-frame basis by using packets, comprising the steps of: (a) generating a compensatory speech signal for a speech signal of the current frame from a speech signal of at least one frame adjacent to the current frame; (b) calculating a speech quality evaluation value for the compensatory speech signal; (c) determining a duplication level based on the speech quality evaluation value, the duplication level being an integer value of 1 or more which increases incrementally as speech quality of the compensatory speech signal decreases; (d) generating packets for the speech signal of the current frame as many packets as the number specified by the duplication level; and (e) transmitting the generated packet to a network. |
9535983 | 14066505 | 1 | 1. A method comprising: an act of accessing a set of text samples, each having a corresponding text sample identifier; for each of at least some of the set of text samples, an act of preparing the text sample, the act of preparing the text sample comprising: an act of parsing a plurality of text components from the text sample; and for each of at least some of the parsed plurality of text components, an act of identifying the text component, the act of identifying the text component comprising: an act of determining if the text component is already correlated to a text component identifier, the text component identifier representing the content while being distinguished from the content; if the text component is already correlated to a text component identifier, assigning the text component identifier to the text component and such that when two text components are the same then the two text components will be assigned a same text component identifier; if the text component is not already correlated to a text component identifier, assigning a new text component identifier to the text component; and an act of creating a text component entry comprising a) the text sample identifier for the text sample from which the text component was parsed, and b) the assigned text component identifier; an act of creating a text sample entry group comprising a plurality of text component entries corresponding to text components parsed from the text sample, and such that the plurality of text component entries are sorted by sequence of the corresponding text component within the text sample; and an act of storing a plurality of text sample entry groups created by performance of the act of preparing the text sample for each of the at least some of the set of text samples, wherein the pluarity of text samples entries are stored in a text component entry table that includes a duplicate set of text component entries having a same text sample identifier and component identifier pairing. |
20120296645 | 13563998 | 0 | 1. A computer-implemented method comprising: (A) at a client, transmitting a speech stream and a control stream to a speech recognition server using a Hypertext Transfer Protocol (HTTP) having a first timeout period; (B) at the speech recognition server, using an automatic speech recognition engine to initiate recognition of the speech stream; (C) at the client, transmitting a first request for a speech recognition result to the server using HTTP; and (D) at the server, transmitting a notification to the client indicating that no speech recognition results have become available within a second timeout period that differs from the first timeout period; and (E) at the client, in response to receiving the notification, transmitting a second request for the speech recognition result to the server using HTTP. |
8457974 | 13558431 | 1 | 1. A mobile device configured to: use a user voiceprint and a collection of personal information associated with a user, wherein the collection of personal information is annotated with semantic types that indicate a semantic type for each piece of information in the collection of personal information, wherein the semantic types include a numeral type and a string type; perform an authentication operation that includes generating an inquiry that incorporates a dynamic component using the collection of personal information and the semantic types; process an audible utterance in response to the inquiry to determine if the audible utterance is associated with the user voiceprint; and provide information regarding the authentication operation. |
8655439 | 12959513 | 1 | 1. A speech discriminability assessment system, comprising: a biological signal measurement processor configured to measure an electroencephalogram signal of a user; a presented-speech sound control processor configured to determine a speech sound to be presented to the user by referring to a speech sound database retaining a plurality of monosyllabic sound data; an audio presentation processor configured to present an audio associated with the determined speech sound to the user; a character presentation processor configured to present a character associated with the determined speech sound to the user, subsequent to the presentation of the audio by the audio presentation processor; an unexpectedness detection processor configured to detect presence or absence of an unexpectedness signal from the measured electroencephalogram signal of the user, the unexpectedness signal representing a positive component at 600 ms±100 ms after a time point when the character was presented to the user; and a speech sound discriminability determination processor configured to determine a speech sound discriminability based on a result of detection by the unexpectedness detection processor. |
8082247 | 12512845 | 1 | 1. A method for providing a search recommendation, the method comprising: training a relevance classifier, wherein the relevance classifier comprises a decision tree comprising a plurality of nodes and wherein training the relevance classifier comprises: receiving a plurality of log data associated with users' behavior, wherein each of the plurality of log data comprises a relevance factor and a feedback category comprising at least one of the following categories: accepted, explored, and rejected, for each of the plurality of log data, determining whether the associated relevance factor is associated with a node of a decision tree, in response to determining that the associated relevance factor is not associated with a node of the decision tree, create a new decision node associated with the relevance factor, in response to determining that the associated relevance factor is associated with a node of the decision tree, for each of the plurality of log data, updating a feedback category count associated with a decision node with the relevance factor of the log data according to the feedback category of the log data, and for each of the plurality of decision nodes, assigning a confidence value according to the feedback category count of the decision node; receiving a search query from a user; providing a plurality of search results to the user; capturing a behavior associated with the user and at least one of the plurality of search results; classifying a relevance for the at least one of the plurality of search results according to the captured behavior, wherein the captured behavior comprises at least one of the relevance factors associated with the relevance classifier; determining, according to the relevance classified for the at least one of the plurality of search results, whether the at least one of the plurality of search results comprises a potential best-bet search result; in response to determining that the at least one of the plurality of search results comprises the potential best-bet search result, determining whether the confidence value associated with the at least one of the relevance factors is greater than a threshold value; and in response to determining that the confidence value associated with the at least one of the relevance factors is greater than the threshold value adding the at least one of the plurality of search results to a store comprising recommended search results. |
20150052093 | 14079181 | 0 | 1. A method for training a neural device having an artificial nervous system, comprising: observing the neural device in a training environment; and modulating at least one training parameter based at least in part on the observing. |
20130128882 | 13743078 | 0 | 1. A method comprising: operating a telephony network and internet connected system cooperatively with a plurality of application programming Interface (API) resources, wherein operating the system comprises: initiating a telephony session, communicating with an application server to receive an application response, converting the application response into executable operations to process the telephony session, creating at least one informational API resource; and exposing the plurality of API resources through a RESTful API that comprises: receiving a RESTful API request that specifies an API resource URI, and responding to the API request according to the request and the specified resource URI. |
20120179662 | 13338814 | 0 | 1. A mobile application search system, comprising: a user interface unit that provides an input environment to allow a user to input a user query and displays a mobile application search result related to the user query; and a mobile application search engine that receives the user query from the user interface unit and searches for a mobile application related to the user query using an activity knowledge database in which a list of elements involved in achieving a plurality of goals that people desire in daily life is stored. |
20040255248 | 10817804 | 0 | 1. An automatic spelling correction apparatus with a plurality of cycled buttons, wherein the sum of the cycled buttons is less than the sum of a plurality of characters, comprising: a storage device capable of storing a character group table and a plurality of character combination records, the character group table storing a character sequence associated with each cycled button, each character combination record composed of the characters representing valid spelling; and a processing unit configured to receive an original character combination and a new character corresponding to the cycled button, generating a first character combination by appending the new character to the original character combination if the last character of the original character combination and the new character correspond to the different cycled buttons, and continually replacing the last character of the original character combination with a new character if the first character combination is determined to be an invalid spelling. |
20130282628 | 13592242 | 0 | 1. A method of determining textual complexity by performing dynamic analysis of text using machine learning artificial intelligence, comprising the steps of: a) receiving, in an application server, input data; b) formatting, by the application server, the received input data; c) storing, by the application server, the formatted data in a storage device creating a digital library; d) performing, by the application server, quantitative analysis of the input data in parallel with the application server performing qualitative analysis of said input data; e) executing complexity analysis, by the application server, of the input data using data generated from said performed quantitative analysis and qualitative analysis to predict the textual complexity of the input data; f) refining, by the application server, the complexity analysis of said input data using the machine learning artificial intelligence; and g) providing improved accuracy of textual complexity predictions based on the refined complexity analysis. |
20130110843 | 13594432 | 0 | 1. A computer system for analyzing an electronic claim file, comprising: an indexing database storing groups of synonyms, each synonym associated with a concept, wherein each concept forms an element in a vector; an indexing engine, receiving an electronic claim file for analysis and comparing data in said electronic claim file to said elements in said vector to determine whether said electronic claim file contains said element; and a scoring engine, in communication with said indexing engine and to generate a score associated with said electronic claim file based on said comparison and to compare said score with a threshold to determine a destination of said electronic claim file. |
20060085184 | 10683017 | 0 | 1. A method, comprising: receiving an automatic speech recognition result with an associated score indicating a level of confidence with respect to the speech recognition result; determining whether a confirmation is to be performed on the speech recognition result; performing a confirmation if it is determined that a confirmation is to be carried out, wherein the confirmation can be performed in a confirmation mode including a random confirmation mode. |
8301456 | 13357487 | 1 | 1. An information system associated with a transport apparatus, the transport apparatus configured to move from one location to another, the access to information of said information system being authorized for only one or more certain persons, the system comprising: an antenna adapted to receive electromagnetic energy, said electromagnetic energy encoding first data associated with at least one person; and processing apparatus in signal communication with said antenna, said processing apparatus configured to: access a first database containing second data relating to said one or more certain persons; analyze at least portions of said first data and said second data to determine if said at least one person is authorized to access said information; and if said at least one person is authorized access, facilitate download of said information to a personal electronic device (PED) of said at least one person. |
20090030671 | 12155131 | 0 | 1. A machine translating method for a source language PDF file in a machine translation device, the method comprising: extracting source language text from the source language PDF file; restoring the source language text by combining a contextually divided body paragraph in the source language text; and translating the restored source language text into target language text. |
20090112133 | 12263026 | 0 | 1. A system for modifying neural transmission patterns between a first neural structure and a second neural structure, the system comprising: a transducer arrangement configured and arranged to produce sound for stimulating the first neural structure and the second neural structure; and a control circuit configured and arranged to control of characteristics of sound waves at the first target neural structure with respect to characteristics of sound waves at the second target neural structure for modifying the neural transmission patterns between a first neural structure and a second neural structure. |
9652023 | 12508789 | 1 | 1. A vehicle communication system comprising: a mobile communication device; and a control unit in a vehicle, the control unit having an OFF state, an ON state, and a LOW POWER state, the control unit comprising: a wireless communication module communicating wirelessly with the mobile communication device; and a power management module commanding the control unit to enter the ON state in response to each of a vehicle ignition event, a vehicle running condition, an incoming wireless command signal, and environmental stimuli. |
8606583 | 13000342 | 1 | 1. A speech synthesis system comprising a server device and a client device connected so as to be capable of communicating with each other, wherein: the client device includes: a text information accepting unit configured to accept text information representing text; and a speech element requesting unit configured to transmit, to the server device, a speech element request for requesting speech element information representing respective speech elements composing speech corresponding to the text represented by the accepted text information; the server device includes: a speech element information storing unit configured to store speech element information representing respective speech elements included in speech uttered by a speech registering user; and a speech element information transmitting unit configured to receive the speech element request transmitted by the client device and, in response to the received speech element request, transmit the speech element information to the client device so that the speech element information is received by the client device in a different order from an order of arrangement of the speech elements in the speech corresponding to the text; and the client device further includes a speech synthesizing unit configured to receive the speech element information transmitted by the server device, rearrange the received speech element information so that speech elements represented by the received speech element information are arranged in a same order as the order of arrangement of the speech elements in the speech corresponding to the text, and generate speech information obtained by converting the text into speech based on the rearranged speech element information. |
20130144622 | 13816502 | 0 | 1. A speech processing device, comprising: a speech detector that detects speech of individual speakers from acoustic signals; an established-conversation calculator that calculates degrees of established conversation of all pairs of the speakers in individual segments defined by dividing a determination time period, on the basis of the detected speech; a long-time feature calculator that calculates a long-time feature of the degrees of established conversation within the determination time period for each of the pairs; and a conversational-partner determining unit that extracts a conversation group holding conversation from the speakers, on the basis of the calculated long-time feature. |
20060008177 | 10886775 | 0 | 1. A method for generating an image with a realistic personalized text insert via software loaded on a computer, the method comprising the steps of: a. providing a base image with at least one position frame defined within the base image, the position frame defining an area where the text insert is insertable; b. defining a vector path within the position frame; c. arranging the text insert along the vector path; d. composing the text insert comprising the steps of: i. selecting individual elements; ii. sizing the individual elements as a function of the vector path; iii. assembling the elements into letters; and iv. assembling the letters along the vector path to compose the text insert; e. outputting an output image file to an output unit. |
8151186 | 13228352 | 1 | 1. A computer-implemented method of generating a signature for a page of text, wherein the signature serves as an identifier of the text page, comprising: determining positions of a plurality of words in the text page; for a first word of the plurality of words having a first position in the text page, determining positions of a plurality of second words in the text page relative to the first word position; generating a signature value that describes the second word positions relative to the first word position; generating additional signature values for the text page, each signature value describing positions of other words in the text page relative to a word in the text page for which the signature value is being generated; comparing a first set of signature values for the text page to a second set of signature values for a second text page, wherein the first set of signature values comprises the signature value that describes the second word positions relative to the first word position and the additional signature values; generating a measure of similarity that describes a result of the comparison; and storing the similarity measure on a non-transitory computer-readable storage medium. |
7499850 | 10860672 | 1 | 1. A method, within a computing system comprising at least one computer processor and at least one computer readable memory, of generating a logical model of objects from elements representing rule specifications, the method comprising: receiving packages of elements representing rule specifications expressed with linguistic concepts, the packages comprising at least one of: terms, names, sentence forms, mathematical function forms, nominal restrictive forms, identity criteria, and expressions; and processing the packages to generate a logical model of objects representing the semantics of each rule in terms of formal logic, wherein processing the packages comprises: processing the terms included in the packages to associate each of the terms with a type; processing the names included in the packages to map each of the names to a type, each of the names corresponding to a term of the processed terms; processing the sentence forms included in the packages to associate each of the sentence forms with a fact type; processing the mathematical function forms included in the packages to map each of the mathematical function forms to a fact type; processing the nominal restrictive forms included in the packages to map each of the nominal restrictive forms to a fact type; processing the identity criteria included in the packages to map each of the identity criteria to a type; deriving type specializations and generalizations for at least one of the types; deriving fact type specializations and generalizations for at least one of the fact types; and processing the expressions included in the packages to generate logical formulations, the expressions including at least one of a name, a term, a function form having at least a placeholder, and an identity criterion. |
20060247924 | 11457100 | 0 | 1. A method of producing a substantially unintelligible, obfuscated speech signal from intelligible speech, comprising the steps of: obtaining a speech signal representing a speech stream; temporally partitioning said speech signal into a plurality of segments, said segments occurring in an initial order within said speech signal; selecting a plurality of selected segments from among said segments; and assembling said selected segments, in an order different than said initial order, to produce said obfuscated speech signal; wherein said segments represent phonemes within said speech stream; wherein said temporally partitioning step comprises the steps of: squaring said speech signal; calculating a short time average of said speech signal over a short time scale; calculating a medium time average of said speech signal over a medium time scale; calculating a difference between said short time average and said medium time average; and detecting zero crossings in said difference; wherein said zero crossings delineate said segments. |
9201525 | 14192882 | 1 | 1. A computer, comprising: a display, the display configured to display a mouse cursor; a touch panel, the touch panel configured to receive a first pressing gesture and to receive a second pressing gesture when the first pressing gesture maintains; and a computer system, the computer system configured to recognize the first pressing gesture and the second pressing gesture as a function of a left mouse button or a right mouse button according to a position relationship between the first pressing gesture and the second pressing gesture; wherein a first touch point is defined between the touch panel and the first pressing gesture and a second touch point is defined between the second pressing gesture and the touch panel; the computer system is configured to recognize two sliding gestures as a “drag” function of the left mouse button when the touch panel senses the two sliding gestures sliding from the first touch point and the second touch point along the same direction. |
9563615 | 14748754 | 1 | 1. A method of dynamically modeling geospatial words in social media, comprising: receiving GPS annotated text data generated by a GPS-enabled device containing latitude and longitude coordinates; generating a word set based on frequencies of words occurring in the GPS annotated text data; partitioning locations by mapping GPS coordinates in the GPS annotated text data to a set of discrete non-overlapped locations; segmenting a text stream contained in the GPS annotated text data into time windows; generating footprints of locations in time windows; determining geospatial weights associated with words in the word set based on localness of words determined based on the footprints; dynamically integrating in geotagging by extracting words in a text message and determining scores associated with the set of discrete non-overlapped locations. |
9779439 | 15171476 | 1 | 1. An apparatus comprising: a memory storing a database of text objects, each text object comprising textual information pertaining to at least one of a plurality of documents, the database further including contextual information about the documents; of the plurality of documents; a translation module executable by a processor and configured to translate text from a first user from a first language to a second language, the text pertaining to a first of the plurality of documents; a context ranking module configured to locate, in the database, a plurality of text objects, in the second language, having text similar to the translated text, and to rank the plurality of text objects having text similar to the translated text based on a comparison of contextual information about the first document and the contextual information stored in the database for documents corresponding to the plurality of text objects similar to the translated text; the translation module further configured to translate at least one of the ranked plurality of text objects to the first language; and a display module presenting the translated at least one of the ranked plurality of text objects to the first user. |
20090157726 | 11958176 | 0 | 1. A computer implemented method for managing conversational input, comprising: monitoring a first conversation between a user of a communications device and a first party; generating a conversation stub that includes information relating to a topic of the first conversation; storing the conversation stub; determining whether a second party of a second conversation between the user of the communications device and the second party has expertise regarding the topic of the first conversation; and responsive to determining that the second party has expertise regarding the topic of the first conversation, presenting the conversation stub to the user during the second conversation. |
20050190069 | 10789060 | 0 | 1. An event annunciator comprising: a sound generating component; an indicator light interface circuit coupled to an indicator light of a security system to sense ON and OFF states of the indicator light and provide a first signal responsive to the states of the indicator light; and a processing component coupled to the interface circuit and to the sound generating component to receive the first signal and cause the sound generating component to generate speech announcements in response to flashing sequences of ON and OFF states of the indicator light. |
20120316878 | 13593140 | 0 | 1. A computer-implemented method comprising: accessing, by a computer system, a search history that identifies one or more search queries that were previously submitted to one or more search services by a mobile computing device that is associated with a user; identifying, based at least in part on the search history of the mobile computing device, a geographic location to which future voice input from the user is likely to relate; selecting, by the computer system and based at least in part on the identified geographic location, a first grammar from among a plurality of grammars, includes a vocabulary that is relevant to the identified geographic location; and outputting, by the computer system, information that identifies the first grammar, wherein the outputted information causes a grammar used to analyze voice input from the mobile computing device to be changed to the first grammar. |
20100179803 | 12606110 | 0 | 1. A system for automatic translation, comprising: at least one database for storing source and target text and rule based and statistical language models; a rule based machine translation module that translates source text based on the rule based models; a statistical machine translation module based on maximum entropy modeling that translates the source text based on statistical language models; a hybrid machine translation engine, having a maximum entropy algorithm that is coupled to the rule based machine translation module and the statistical machine translation module that is capable of translating source text into target text based on the rule based and statistical language models. |
9866972 | 14532951 | 1 | 1. A MEMS acoustic transducer device, comprising: a micromechanical detection structure configured to detect acoustic-pressure waves and supply a transduced electrical quantity; and an integrated circuit coupled to the micromechanical detection structure, the integrated circuit including: a reading module configured to generate at output an audio signal as a function of the transduced electrical quantity; and a recognition module configured to receive the transduced electrical quantity and output a first signal; and a modulator coupled to the recognition module, the modulator configured to output a data signal in response to the first signal, the data signal being indicative of a recognized sound activity event associated with the transduced electrical quantity, the modulator being configured to output the data signal and the audio signal. |
20170161265 | 15439849 | 0 | 1. A method, comprising: providing, by a computer system, a developer interface to define a flexible sentence syntax that controls how an application, among multiple applications, of a social networking system expresses one or more edges in a social graph of the social networking system, wherein the edges represent one or more user actions occurring in the social networking system and wherein the multiple applications respectively correspond to different flexible sentence syntaxes; generating, by the computer system, on the developer interface, one or more selectable tokens associated with an element or a property of an element of a potential edge in the social graph; receiving, by the computer system, a token selection of one of the selectable tokens to incorporate into the flexible sentence syntax; and based on the token selection, generating, by the computer system, a plurality of relevant flexible sentence configurations for the developer to insert a sentence element into the flexible sentence syntax to cause the social networking system to express a new edge representing a user action according to the flexible sentence syntax. |
20150046452 | 13960119 | 0 | 1. A method implemented in a computer system for extracting location information from unstructured text by utilizing a language model and a classifier, the method comprising: obtaining, by a computer, the unstructured text; identifying by the computer, via use of the language model and based upon the received unstructured text, a location referred to by the received unstructured text; and determining by the computer, via use of the classifier, whether the location referred to by the received unstructured text is also a physical location from where the received unstructured text was sent. |
20140029762 | 13557895 | 0 | 1. An apparatus comprising: a platform, configured to be removably placed symmetrically on or about a user's head; at least a first transducer configured to capture vibration of the user's skull or facial movement generated by the user's voice activity and detect the user's speaking activity, in which the at least first transducer converts the vibration or facial movement into a first electrical audio signal; and one or more circuitries and/or one or more memories including computer program code for processing the at least the electrical audio signal from the at least first transducer received at the platform as voiced frames and/or as unvoiced frames, in which the voiced frames and/or the unvoiced frames are defined based at least on the first electrical audio signal. |
9547642 | 12486446 | 1 | 1. A non-transitory computer-readable storage medium having computer-executable instructions stored thereon that configure the computer to: use a decision engine to select processing stages to transform an input representation of voice signals into an output representation of text language representations according to a set of context-specific constraints, a set of application specific constraints, objective functions, and a determination of an order of the processing stages, wherein the processing stages include one or more voice-to-text processing stages and one or more-text-to-text processing stages; process a first voice audio signal based on the application specific constraints; extract a first text language representation from the first voice audio signal based on the set of the context-specific constraints and the set of application specific constraints; transform the first text language representation into a second text language representation according to a set of language objectives, the set of context-specific constraints, and the set of the application specific constraints; remove censored words and ambiguities from the second text language representation according to rules of the application specific constraints; generate a second audio signal from the second text language representation, wherein the second audio signal includes voice characteristics that differ from the first audio signal, and wherein the voice characteristics include a gender, a pitch, an intonation, an accent, and a cadence; post-process the second audio signal; integrate the second audio signal with one or more other audio signals; and transmit the second audio signal to a computing device. |
20180040322 | 15788658 | 0 | 1. A method, comprising: at a first electronic device of a plurality of electronic devices, each electronic device of the plurality of electronic devices comprising one or more microphones, a speaker, one or more processors, and memory storing one or more programs for execution by the one or more processors: detecting a voice input; determining a first quality score for the detected voice input; receiving quality scores generated by the other devices of the plurality of electronic devices for detection of the voice input by the other devices; in accordance with a determination that the first quality score is not the highest amongst the quality scores for the voice input generated by the plurality of electronic devices: identifying a criterion associated with the voice input; and in accordance with a determination that the identified criterion is the most relevant to the first electronic device, responding to the detected input. |
20160247089 | 14834365 | 0 | 1. A system, comprising: one or more data processors; and a non-transitory computer-readable storage medium containing instructions which, when executed on the one or more data processors, cause the one or more data processors to perform operations including: accessing a dataset comprising data tracking a plurality of features; determining a series of values for a regularization parameter of a sparse support vector machine model, the series including an initial regularization value and a next regularization value, the sparse support vector machine model including a dual form defined by a dual variable; computing an initial solution to the sparse support vector machine model for the initial regularization value; identifying, using the initial solution, inactive features of the sparse support vector machine model for the next regularization value, wherein identifying an inactive feature includes determining an upper bound for an inner product of a weighted feature and the dual variable for the next regularization value and identifying the weighted feature as an inactive feature when the upper bound is less than one; and computing a next solution to the sparse support vector machine model for the next regularization value, wherein computing the next solution includes excluding the inactive features. |
8750528 | 13210916 | 1 | 1. An audio apparatus, comprising: an electroacoustic transducer; and an audio controller, coupled to the electroacoustic transducer, for actively controlling the electroacoustic transducer to function as a loudspeaker or a microphone, wherein the loudspeaker converts output electrical signals to output sounds, and the microphone converts input sounds to input electrical signals; wherein the audio controller further comprises: a dynamic switching unit for: switching the electroacoustic transducer to function as the loudspeaker when the electroacoustic transducer receives the output electrical signals; and switching the electroacoustic transducer to function as the microphone at the interval between two consecutive output electrical signals. |